{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "InDL = True\n",
    "dataset_folder = \"dataset03\"\n",
    "exp_name = f\"{dataset_folder}_ablation_study_2\"\n",
    "max_depth = 10\n",
    "\n",
    "# Assuming df is your DataFrame and it has columns 'Loss' and 'Class 0 Recall'\n",
    "\n",
    "fig, ax1 = plt.subplots(figsize=(4,3))\n",
    "\n",
    "ax1.set_ylabel('Loss', color='blue')\n",
    "ax1.tick_params(axis='y', labelcolor='blue')  \n",
    "ax1.set_xlabel('Epochs')\n",
    " \n",
    "ax2 = ax1.twinx() \n",
    "ax2.set_ylabel('Recall', color='red')\n",
    "ax2.tick_params(axis='y', labelcolor='red')\n",
    "\n",
    "previous_df = None\n",
    "for i in range(max_depth):\n",
    "    df = pd.DataFrame(columns=['Loss', 'Recall'])\n",
    "    \n",
    "    model_name = f\"{i}-net\"\n",
    "    if InDL:\n",
    "        model_name = f\"{model_name}-InDL\"\n",
    "    else:\n",
    "        model_name = f\"{model_name}-MNIST\"\n",
    "    \n",
    "    history_path = f'./models/{exp_name}/{model_name}_history.csv'\n",
    "        \n",
    "    df = pd.read_csv(history_path)\n",
    "    \n",
    "    df['Loss'] = df['Loss'].rolling(window=10).mean()\n",
    "    df['Recall'] = df['Recall'].rolling(window=10).mean()\n",
    "\n",
    "    if i == 0:\n",
    "        sns.lineplot(data=df, x=df.index, y='Loss', ax=ax1, color='blue', linewidth=0.5)\n",
    "        sns.lineplot(data=df, x=df.index, y='Recall', ax=ax2, color='red', linewidth=0.5)\n",
    "    # elif i == max_depth-1:\n",
    "    #     sns.lineplot(data=df, x=df.index, y='Loss', ax=ax1, color='blue', linestyle=\"--\", linewidth=0.5)\n",
    "    #     sns.lineplot(data=df, x=df.index, y='Recall', ax=ax2, color='red', linestyle=\"--\", linewidth=0.5)\n",
    "    else:\n",
    "        ax1.fill_between(range(100), previous_df[\"Loss\"], df[\"Loss\"], where=(df[\"Loss\"]>previous_df[\"Loss\"]), color='blue', alpha=0.05*(max_depth-i))\n",
    "        ax2.fill_between(range(100), previous_df[\"Recall\"], df[\"Recall\"], where=(df[\"Recall\"]<previous_df[\"Recall\"]), color='Red', alpha=0.05*(max_depth-i))\n",
    "\n",
    "        sns.lineplot(data=df, x=df.index, y='Loss', ax=ax1, color='blue', linestyle=\":\", alpha=0.1*(max_depth-i), linewidth=0.5)\n",
    "        sns.lineplot(data=df, x=df.index, y='Recall', ax=ax2, color='red', linestyle=\":\", alpha=0.1*(max_depth-i), linewidth=0.5)\n",
    "\n",
    "    previous_df = df\n",
    "    \n",
    "plt.savefig(\"ablation_study_result.pdf\", format=\"pdf\", bbox_inches='tight', pad_inches= 0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "InDL = False\n",
    "dataset_folder = \"dataset03\"\n",
    "exp_name = f\"{dataset_folder}_ablation_study_2_ref\"\n",
    "max_depth = 10\n",
    "\n",
    "# Assuming df is your DataFrame and it has columns 'Loss' and 'Class 0 Recall'\n",
    "\n",
    "fig, ax1 = plt.subplots(figsize=(4,3))\n",
    "\n",
    "ax1.set_ylabel('Loss', color='blue')\n",
    "ax1.tick_params(axis='y', labelcolor='blue')  \n",
    "ax1.set_xlabel('Epochs')\n",
    " \n",
    "ax2 = ax1.twinx() \n",
    "ax2.set_ylabel('Recall', color='red')\n",
    "ax2.tick_params(axis='y', labelcolor='red')\n",
    "\n",
    "previous_df = None\n",
    "for i in range(max_depth):\n",
    "    df = pd.DataFrame(columns=['Loss', 'Recall'])\n",
    "    \n",
    "    model_name = f\"{i}-net\"\n",
    "    if InDL:\n",
    "        model_name = f\"{model_name}-InDL\"\n",
    "    else:\n",
    "        model_name = f\"{model_name}-MNIST\"\n",
    "    \n",
    "    history_path = f'./models/{exp_name}/{model_name}_history.csv'\n",
    "        \n",
    "    df = pd.read_csv(history_path)\n",
    "    \n",
    "    df['Loss'] = df['Loss'].rolling(window=10).mean()\n",
    "    df['Recall'] = df['Recall'].rolling(window=10).mean()\n",
    "\n",
    "    if i == 0:\n",
    "        sns.lineplot(data=df, x=df.index, y='Loss', ax=ax1, color='blue', linewidth=0.5)\n",
    "        sns.lineplot(data=df, x=df.index, y='Recall', ax=ax2, color='red', linewidth=0.5)\n",
    "    # elif i == max_depth-1:\n",
    "    #     sns.lineplot(data=df, x=df.index, y='Loss', ax=ax1, color='blue', linestyle=\"--\", linewidth=0.5)\n",
    "    #     sns.lineplot(data=df, x=df.index, y='Recall', ax=ax2, color='red', linestyle=\"--\", linewidth=0.5)\n",
    "    else:\n",
    "        ax1.fill_between(range(100), previous_df[\"Loss\"], df[\"Loss\"], where=(df[\"Loss\"]>previous_df[\"Loss\"]), color='blue', alpha=0.05*(max_depth-i))\n",
    "        ax2.fill_between(range(100), previous_df[\"Recall\"], df[\"Recall\"], where=(df[\"Recall\"]<previous_df[\"Recall\"]), color='Red', alpha=0.05*(max_depth-i))\n",
    "\n",
    "        sns.lineplot(data=df, x=df.index, y='Loss', ax=ax1, color='blue', linestyle=\":\", alpha=0.1*(max_depth-i), linewidth=0.5)\n",
    "        sns.lineplot(data=df, x=df.index, y='Recall', ax=ax2, color='red', linestyle=\":\", alpha=0.1*(max_depth-i), linewidth=0.5)\n",
    "\n",
    "    previous_df = df\n",
    "    \n",
    "plt.savefig(\"ablation_study_ref.pdf\", format=\"pdf\", bbox_inches='tight', pad_inches= 0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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